Priority-Based Data Collection for UAV-Aided Mobile Sensor Network
نویسندگان
چکیده
منابع مشابه
Energy-Efficient Data Collection in UAV Enabled Wireless Sensor Network
In wireless sensor networks (WSNs), utilizing the unmanned aerial vehicle (UAV) as a mobile data collector for the ground sensor nodes (SNs) is an energy-efficient technique to prolong the network lifetime. Specifically, since the UAV can sequentially move close to each of the SNs when collecting data from them and thus reduce the link distance for saving the SNs’ transmission energy. In this l...
متن کاملA Fuzzy Based Priority Approach in Mobile Sensor Network Coverage
In this paper a new fuzzy based approach for improving network coverage in wireless mobile sensor networks is proposed. In the proposed approach firstly each mobile sensor node determines its neighbors and its distance from borders and obstacles. According to these values, fuzzy inference engine calculates the priority of node for movement. Then according to the priority, in turn, nodes move aw...
متن کاملEnhanced Chain Based Data Collection Sensor Network Technique
Wireless sensor networks (WSNs) have received tremendous attention in recent years because of the development of sensor devices, as well as wireless communication technologies. WSNs make it easier to monitor and control physical environments from remote locations and present many significant advantages over wired sensor networks for a variety of civilian and military applications [1,2] .A WSN i...
متن کاملFast Data Collection in Tree Based Wireless Sensor Network
We investigate the following fundamental question how fast can information be collected from a wireless sensor network organized as tree? To address this, we explore and evaluate a number of different techniques using realistic simulation models under many-to-one communication paradigm known as convergecast. We first consider time scheduling on a single frequency channel with the aim of minimiz...
متن کاملUAV attitude Sensor Fault Detection Based On Fuzzy Logic and by Neural Network Model Identification
Fault detection has always been important in aviation systems to prevent many accidents. This process is possible in different ways. In this paper, we first identify the longitudinal axis plane model using neural network approach. Then based on the obtained model and using fuzzy logic, the aircraft status sensor fault detection unit was designed. The simulation results show that the fault detec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors
سال: 2020
ISSN: 1424-8220
DOI: 10.3390/s20113034